GitHub

ResNet-50 Image Classification

This project implements ResNet-50, a deep convolutional neural network with 50 layers that uses residual connections to enable training of very deep networks. The architecture includes identity ...
24/7 Wall St

Are Layer 2 Networks Helping or Hurting Ethereum’s Price?

This post may contain links from our sponsors and affiliates, and Flywheel Publishing may receive compensation for actions taken through them. Ethereum’s (CRYPTO: ETH) price story in 2025 has been ...
IEEE

Magnetotelluric Inversion Based on Double-Layer Convolutional Neural Network

Abstract: A double-layer neural network combining a fully convolutional network (FCN) and U-Net is introduced to improve the accuracy of 2.5-D magnetotelluric (MT) inversion. The initial model ...
GitHub

Layer Attribution for Convolutional Networks

Hi @bilalsal @NarineK @sarahtranfb @vivekmig @aobo-y, First of all, thank you for the amazing work on Captum! I'm currently exploring the capabilities of Captum for analyzing a convolutional neural ...
Frontiers

Physics-inspired time-frequency feature extraction and lightweight neural network for power quality disturbance classification

1 Chongqing University-University of Cincinnati Joint Co-op Institute, Chongqing University, Chongqing, China 2 College of Computer Science, Sichuan University, Chengdu, Sichuan, China This study ...
Frontiers

A soil organic carbon mapping method based on transfer learning without the use of exogenous data

College of Computer Science and Technology, Changchun Normal University, Changchun, China Accurate and cost-effective mapping of soil organic carbon (SOC) is critical for understanding carbon dynamics ...
The Lancet

Using artificial intelligence and computer vision to detect and monitor unhealthy child-directed food and beverage marketing: a data-driven study

Copyright: © 2025 The Authors. Published by Elsevier Ltd. Image classification algorithms were trained on 8283 manually labeled food package images, annotated and ...